The A/B test you should not run

If a test cannot reach a decision, it is not a test. It is a coin flip with a dashboard.

The A/B test you should not run — article cover

Key takeaways

  • Most small-site tests cannot reach significance, and acting on them is worse than not testing
  • Fix obvious friction first; watch ten session recordings before hypothesising
  • A test is only worth running if its result changes a decision

The most common CRO mistake on a small site is not a bad hypothesis. It is running a properly designed test on traffic that can never resolve it, then acting on the result anyway.

The arithmetic nobody does first

To reliably detect a 10% relative improvement on a 3% conversion rate, you need tens of thousands of visitors per variant. Most B2B sites with $5,000 a month of ad spend see a few hundred. After two weeks the test shows +14%, everyone celebrates, and the "winner" is noise that will vanish in the next month.

This is not a statistical edge case. It is the normal outcome, and it is how sites end up with a landing page optimised for a random Tuesday.

What to do instead, in order

  1. Fix the broken things. Forms that fail silently, pricing pages with no prices, mobile layouts where the CTA is under the fold. These need doing, not testing.
  2. Watch ten sessions. Screen recordings of real visitors will show you three problems no test would have found, because you would never have hypothesised them.
  3. Run sequential changes. Change one thing, measure for two weeks against the previous period, accept that seasonality is a confound and say so in the report.
  4. Test only what has volume. Headline and hero changes on your highest-traffic page are testable. The pricing page of a niche product usually is not.

The questions worth asking before any test

  • What decision does this result change? If the answer is "none", do not run it.
  • What is the minimum detectable effect, and is that effect big enough to matter commercially?
  • Who will implement the winner, and when? A test with no implementation path is research theatre.

The honest version of CRO. On a small site, most of the gain comes from fixing obvious friction, not from testing. A $900 audit that finds four broken things is worth more than a year of underpowered experiments.

When testing does make sense

High traffic, a clear funnel, and a team that can ship changes weekly. At that point, a proper programme — one hypothesis at a time, powered sample sizes, decisions written down — compounds. Below that threshold, spend the money on the form.

Start with the audit, not the test.

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